A fast algorithm for music search by similarity in large databases based on modified Symetrized Kullback Leibler Divergence

@article{Charbuillet2010AFA,
  title={A fast algorithm for music search by similarity in large databases based on modified Symetrized Kullback Leibler Divergence},
  author={Christophe Charbuillet and Geoffroy Peeters and Stanislav Barton and Val{\'e}rie Gouet-Brunet},
  journal={2010 International Workshop on Content Based Multimedia Indexing (CBMI)},
  year={2010},
  pages={1-6}
}
State of the art on music similarity search is based on the pairwise comparison of statistical models representing audio features. The comparison is often obtained by the Symetrized Kullback-Leibler Divergence (SKLD). When dealing with very large databases (over one million items), usual search by similarity algorithms — sequential or exhaustive search — cannot be used. In these cases, optimized search strategies such as the M-tree reduces the search time but requires the dissimilarity measure… CONTINUE READING
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